Abstract:
For relieving typing burdens caused by incorrect spellings, typing errors, unknown spellings, and characters with diacritical marks, and for enhancing a typing efficiency of a typist with some simplified techniques, several candidate generating methods are provided for assisting the typist to pick a candidate word from a list of generated candidate words, or for selecting a candidate word from said list of generated candidate words in an automatic-selection manner. A proper-designed user interface may also be utilized for implementing the candidate generating methods.
Abstract:
A natural language processing method, comprising: receiving multiple input words; and reducing the multiple words into one or more subject word data structures according to sets stored in a database, wherein one of the subject word data structures includes a first input word and a second input words among the input words, wherein one of the sets includes a compatible relation between the first input word and the second input word, wherein the compatible relation between the first input word and the second word includes a compatible property for denoting an intensity representing occurrences of the first input word and the second word in a training corpus.
Abstract:
For relieving typing burdens caused by incorrect spellings, typing errors, unknown spellings, and characters with diacritical marks, and for enhancing a typing efficiency of a typist with some simplified techniques, several candidate generating methods are provided for assisting the typist to pick a candidate word from a list of generated candidate words, or for selecting a candidate word from said list of generated candidate words in an automatic-selection manner. A proper-designed user interface may also be utilized for implementing the candidate generating methods.